
\begin{table}[htbp]
   \caption{\label{tab:compreg3max} Regression results: Savings and censored savings regressed on income, race, and urban/rural designation}
   \centering
   \begin{tabular}{lcccccc}
      \tabularnewline \midrule \midrule
       & \multicolumn{3}{c}{Savings} & \multicolumn{3}{c}{Max\{Savings, 0\}} \\ 
      Model:           & (1)            & (2)            & (3)           & (4)            & (5)            & (6)\\  
      \midrule
      \emph{Variables}\\
      Constant         & -82.75$^{***}$ &                &               & 119.7$^{***}$  &                &   \\   
                       & (9.757)        &                &               & (3.275)        &                &   \\   
      Less than \$10k  & 99.50$^{***}$  & 91.94$^{***}$  & 75.33$^{***}$ & -4.429         & -9.795$^{***}$ & -22.78$^{***}$\\   
                       & (7.193)        & (5.359)        & (4.190)       & (2.780)        & (2.228)        & (1.765)\\   
      $10-$15k         & 98.35$^{***}$  & 89.58$^{***}$  & 71.75$^{***}$ & -6.426$^{**}$  & -10.74$^{***}$ & -25.44$^{***}$\\   
                       & (7.258)        & (5.298)        & (4.126)       & (2.858)        & (2.223)        & (1.750)\\   
      $15-$25k         & 91.17$^{***}$  & 81.93$^{***}$  & 66.03$^{***}$ & -3.015         & -7.620$^{***}$ & -21.16$^{***}$\\   
                       & (7.133)        & (5.047)        & (3.785)       & (2.795)        & (2.139)        & (1.605)\\   
      $25-$35k         & 84.31$^{***}$  & 75.78$^{***}$  & 61.22$^{***}$ & 0.7758         & -3.423$^{*}$   & -16.05$^{***}$\\   
                       & (6.937)        & (4.809)        & (3.512)       & (2.708)        & (2.057)        & (1.493)\\   
      $35-$50k         & 73.98$^{***}$  & 69.77$^{***}$  & 56.73$^{***}$ & -3.502         & -5.920$^{***}$ & -17.20$^{***}$\\   
                       & (6.736)        & (4.721)        & (3.404)       & (2.600)        & (1.985)        & (1.410)\\   
      $50-$75k         & 65.37$^{***}$  & 63.26$^{***}$  & 51.46$^{***}$ & -3.837         & -5.468$^{***}$ & -15.33$^{***}$\\   
                       & (6.386)        & (4.511)        & (3.196)       & (2.439)        & (1.896)        & (1.318)\\   
      $75-$100k        & 47.60$^{***}$  & 49.60$^{***}$  & 40.65$^{***}$ & -7.866$^{***}$ & -7.894$^{***}$ & -15.90$^{***}$\\   
                       & (5.869)        & (4.196)        & (2.888)       & (2.251)        & (1.778)        & (1.217)\\   
      $100-$150k       & 27.28$^{***}$  & 32.83$^{***}$  & 28.04$^{***}$ & -4.907$^{***}$ & -3.700$^{**}$  & -8.778$^{***}$\\   
                       & (4.934)        & (3.619)        & (2.327)       & (1.878)        & (1.539)        & (1.025)\\   
      $150-$200k       & 1.919          & 7.737$^{***}$  & 7.468$^{***}$ & -5.105$^{***}$ & -3.708$^{***}$ & -5.646$^{***}$\\   
                       & (3.603)        & (2.793)        & (1.653)       & (1.366)        & (1.185)        & (0.8463)\\   
      Black            & 27.93$^{***}$  & -19.12$^{***}$ & 9.571$^{***}$ & 12.31$^{***}$  & -14.80$^{***}$ & 2.543$^{***}$\\   
                       & (8.336)        & (4.477)        & (1.522)       & (2.670)        & (2.022)        & (0.9410)\\   
      Asian            & -9.883         & -17.47$^{***}$ & 1.750         & -37.48$^{***}$ & -22.30$^{***}$ & -8.811$^{***}$\\   
                       & (6.122)        & (3.928)        & (1.642)       & (2.270)        & (2.041)        & (1.059)\\   
      Native Am.       & 41.73$^{***}$  & 28.79$^{***}$  & 26.64$^{***}$ & 8.066          & 17.90$^{***}$  & 12.57$^{***}$\\   
                       & (7.276)        & (4.513)        & (3.251)       & (4.908)        & (2.639)        & (2.130)\\   
      Other            & -1.892         & -6.590$^{**}$  & 9.114$^{***}$ & -22.87$^{***}$ & -8.053$^{***}$ & 3.841$^{***}$\\   
                       & (4.870)        & (3.187)        & (1.177)       & (1.944)        & (1.653)        & (0.8244)\\   
      Rural PUMA       & 116.8$^{***}$  & 97.80$^{***}$  &               & 78.84$^{***}$  & 72.53$^{***}$  &   \\   
                       & (9.466)        & (6.016)        &               & (4.268)        & (3.373)        &   \\   
      \midrule
      \emph{Fixed-effects}\\
      State            &                & Yes            &               &                & Yes            & \\  
      PUMA             &                &                & Yes           &                &                & Yes\\  
      \midrule
      \emph{Fit statistics}\\
      Observations     & 5,947,311      & 5,947,311      & 5,947,311     & 5,947,311      & 5,947,311      & 5,947,311\\  
      R$^2$            & 0.03581        & 0.27521        & 0.38834       & 0.03337        & 0.12592        & 0.21490\\  
      Within R$^2$     &                & 0.03026        & 0.00541       &                & 0.02727        & 0.00098\\  
      \midrule \midrule
      \multicolumn{7}{l}{\emph{ Clustered (PUMA) standard-errors in parentheses }}\\
      \multicolumn{7}{l}{\emph{ Signif. Codes: $^{***}$: 0.01, $^{**}$: 0.05, $^{*}$: 0.1 }}\\
      \multicolumn{7}{l}{\emph{ Omitted categories are income: \$200k+, race: White }}\\
   \end{tabular}
\end{table}


